Modern image recognition technology is getting really good at identifying objects. But engineers at MIT CSAIL show us how simply playing with their textures can confuse the AI into thinking an object is something completely different than what it actually is.
Computer vision algorithms keep getting better and better at recognizing objects, people, and locations. In this demonstration video from Deep Python, using the Faster R-CNN framework, we get to see how good machine learning has become at identifying stuff.
The Art Assignment argues that whether it be something as primitive as bones or as advanced as a neural network, there’s always a human touch at the root of all machines used to make art. We like to think of it from the other end: art is unfinished until a human mind ponders it.
Disproportionately big eyes, a sailor’s outfit, colorful hair… these are but a few of the trademark characteristics of girls in anime. Over at MakeGirlsMoe, computer learning algorithms can generate a nearly infinite set of anime characters, as seen in the video here.
We were totally convinced that this was a promo clip for a science fiction movie, but we’ve been assured that Hanson Robotics is real, and they’ve actually built Sophia, an uncanny self-learning android AI to haunt our nightmares. She sounds infinitely smarter than she looks.
Google’s DeepMind artificial intelligence algorithms recently were used in an experiment where a stick figure learned to walk all by itself. But Andreas Almström couldn’t leave well enough alone, and added appropriately disturbing sound effects to the silent video.